re:vision participation form

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Fill out this form if you wish to participate in the re:vision initiative

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Names of the replicators (3 max.)
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E-mail address
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Affiliation of each replicator

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Position of each replicator (e.g. PI, Postdoc, Graduate student, Undergraduate student, etc.)

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Name of the study you would like to replicate
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A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision

A Common, High-Dimensional Model of the Representational Space in Human Ventral Temporal Cortex

A Continuous Semantic Space Describes the Representation of Thousands of Object and Action Categories across the Human Brain

A data driven approach to understanding the organization of high-level visual cortex

A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition

A large-scale examination of inductive biases shaping high-level visual representation in brains and machines

A Model of Representational Spaces in Human Cortex

A Real-World Size Organization of Object Responses in Occipitotemporal Cortex

A Texture Statistics Encoding Model Reveals Hierarchical Feature Selectivity across Human Visual Cortex

A unifying framework for functional organization in early and higher ventral visual cortex

Bayesian Reconstruction of Natural Images from Human Brain Activity

Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset

Brain Diffusion for Visual Exploration: Cortical Discovery using Large-Scale Generative Models

Brain-optimized deep neural network models of human visual areas learn non-hierarchical representations

BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation

Categorical, Yet Graded – Single-Image Activation Profiles of Human Category-Selective Cortical Regions

Color-biased regions in the ventral visual pathway are food selective

Comparing visual representations across human fMRI and computational vision

Computational models of category-selective brain regions enable high-throughput tests of selectivity

Conceptual Object Representations in Human Anterior Temporal Cortex

Contrastive learning explains the emergence and function of visual category-selective regions

Convolutional architectures are cortex-aligned de novo

Cortical representation of animate and inanimate objects in complex natural scenes

Curvature processing in human visual cortical areas

Deep image reconstruction from human brain activity

Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream

Disentangling Scene Content from Spatial Boundary: Complementary Roles for the Parahippocampal Place Area and Lateral Occipital Complex in Representing Real-World Scenes

Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior

Distributed representations of behaviour-derived object dimensions in the human visual system

Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex

Encoding of Visual Objects in the Human Medial Temporal Lobe

Evidence for compositionality in fMRI visual representations via Brain Algebra

Fourier power, subjective distance, and object categories all provide plausible models of BOLD responses in scene-selective visual areas

Functional brain-to-brain transformation without shared stimuli

Functional Subdomains within Scene-Selective Cortex: Parahippocampal Place Area, Retrosplenial Complex, and Occipital Place Area

Good Exemplars of Natural Scene Categories Elicit Clearer Patterns than Bad Exemplars but Not Greater BOLD Activity

High-level visual representations in the human brain are aligned with large language models

High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity

Human brain responses are modulated when exposed to optimized natural images or synthetically generated images

Human Object-Similarity Judgments Reflect and Transcend the Primate-IT Object Representation

Human Scene-Selective Areas Represent 3D Configurations of Surfaces

Human-like object concept representations emerge naturally in multimodal large language models

Identifying natural images from human brain activity

Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks

In silico discovery of representational relationships across visual cortex

Inter-individual and inter-site neural code conversion without shared stimuli

Large-scale dissociations between views of objects, scenes, and reachable-scale environments in visual cortex

Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features

Natural scene reconstruction from fMRI signals using generative latent diffusion

Natural scene sampling reveals reliable coarse-scale orientation tuning in human V1

Natural Scene Categories Revealed in Distributed Patterns of Activity in the Human Brain

Natural Scene Statistics Account for the Representation of Scene Categories in Human Visual Cortex

Natural scenes reveal diverse representations of 2D and 3D body pose in the human brain

Neural mechanisms of rapid natural scene categorization in human visual cortex

Neural Taskonomy: Inferring the Similarity of Task-Derived Representations from Brain Activity

NeuroGen: Activation optimized image synthesis for discovery neuroscience

Personalized visual encoding model construction with small data

Real-World Scene Representations in High-Level Visual Cortex: It's the Spaces More Than the Places

Reassessing hierarchical correspondences between brain and deep networks through direct interface

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Representations in human primary visual cortex drift over time

Retinotopic Organization of Human Ventral Visual Cortex

Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model

Selectivity for food in human ventral visual cortex

Self-supervised Natural Image Reconstruction and Large-scale Semantic Classification from Brain Activity

Shared representations in brains and models reveal a two-route cortical organization during scene perception

Similarity judgments and cortical visual responses reflect different properties of object and scene categories in naturalistic images

Sparsely-distributed organization of face and limb activations in human ventral temporal cortex

Stacked regressions and structured variance partitioning for interpretable brain maps

The colors of images preferred by individual voxels can be used to delineate functionally distinct visually responsive brain areas

The contribution of object size, manipulability, and stability on neural responses to inanimate objects

The distribution of category and location information across object-selective regions in human visual cortex

The occipital place area represents the local elements of scenes

The Representation of Biological Classes in the Human Brain

The Scope and Limits of Fine-Grained Image and Category Information in the Ventral Visual Pathway

The transition from vision to language: Distinct patterns of functional connectivity for subregions of the visual word form area

Through their eyes: Multi-subject brain decoding with simple alignment techniques

Tripartite Organization of the Ventral Stream by Animacy and Object Size

Universal dimensions of visual representation

Universal scale-free representations in human visual cortex

Unraveling the Differential Efficiency of Dorsal and Ventral Pathways in Visual Semantic Decoding

Unsupervised Feature Learning Improves Prediction of Human Brain Activity in Response to Natural Images

Unveiling functions of the visual cortex using task-specific deep neural networks

Variation in the geometry of concept manifolds across human visual cortex

Visual Image Reconstruction from Human Brain Activity using a Combination of Multiscale Local Image Decoders

Visual representations are dominated by intrinsic fluctuations correlated between areas

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